日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Interoperability of statistical models in pandemic preparedness: principles and reality

疫情防范中统计模型的互操作性：原则与现实

期刊:Statistical Science
影响因子:3.4
doi:10.1214/22-STS854
Nicholson, George; Blangiardo, Marta; Briers, Mark; Diggle, Peter J; Fjelde, Tor Erlend; Ge, Hong; Goudie, Robert J B; Jersakova, Radka; King, Ruairidh E; Lehmann, Brieuc C L; Mallon, Ann-Marie; Padellini, Tullia; Teh, Yee Whye; Holmes, Chris; Richardson, Sylvia
发表日期：2022
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Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid-19 epidemic in British local authorities

利用贝叶斯方法高效推断精细空间尺度下的瞬时再生数，并将其应用于英国地方政府新冠疫情的地图绘制和实时预测。

期刊:
影响因子:
doi:10.1111/rssa.12971
Teh, Yee Whye; Elesedy, Bryn; He, Bobby; Hutchinson, Michael; Zaidi, Sheheryar; Bhoopchand, Avishkar; Paquet, Ulrich; Tomasev, Nenad; Read, Jonathan; Diggle, Peter J
微生物学
新冠
发表日期：2022
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Inferring the effectiveness of government interventions against COVID-19

推断政府应对新冠肺炎疫情干预措施的有效性

期刊:Science
影响因子:45.8
doi:10.1126/science.abd9338
Brauner, Jan M; Mindermann, Sören; Sharma, Mrinank; Johnston, David; Salvatier, John; Gavenčiak, Tomáš; Stephenson, Anna B; Leech, Gavin; Altman, George; Mikulik, Vladimir; Norman, Alexander John; Monrad, Joshua Teperowski; Besiroglu, Tamay; Ge, Hong; Hartwick, Meghan A; Teh, Yee Whye; Chindelevitch, Leonid; Gal, Yarin; Kulveit, Jan
肺炎
新冠
微生物学
发表日期：2021
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DeepC: predicting 3D genome folding using megabase-scale transfer learning

DeepC：利用兆碱基规模的迁移学习预测3D基因组折叠

期刊:Nature Methods
影响因子:32.1
doi:10.1038/s41592-020-0960-3
Schwessinger, Ron; Gosden, Matthew; Downes, Damien; Brown, Richard C; Oudelaar, A Marieke; Telenius, Jelena; Teh, Yee Whye; Lunter, Gerton; Hughes, Jim R
3D/类器官
发表日期：2020
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